Complete SAS Programming Guide - Learn SAS and Become a Data Ninja - Decile Calibration Plot

The video tutorial discusses calibration in predictive modeling, focusing on the agreement between observed outcomes and predictions. It explains how to use SAS code to create calibration plots, including decile calibration plots, and compute mean predicted probabilities and confidence intervals. The tutorial also covers using proc sgplot for visualization and evaluating the calibration of models, highlighting the importance of aligning predicted probabilities with observed outcomes.

What does calibration refer to in the context of predictive modeling?

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How can a model's predicted probability be greater than 0.5 for someone who should not receive a loan?

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What does the area under the curve score measure in the context of model performance?

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What is the purpose of a calibration graph?

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Describe the process of creating a decile calibration plot.

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What are the key components included in the output data set for the mean predicted probability?

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How can one improve both discrimination and calibration in predictive modeling?

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